Data-driven Nonlinear Hebbian Learning method for Fuzzy Cognitive Maps

2008 ◽  
Author(s):  
Wojciech Stach ◽  
Lukasz Kurgan ◽  
Witold Pedrycz
Keyword(s):  
Hebbian Learning ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps ◽  
Data Driven ◽  
Learning Method ◽  
Nonlinear Hebbian Learning

scholarly journals Active Hebbian learning algorithm to train fuzzy cognitive maps

2004 ◽  
Vol 37 (3) ◽  
pp. 219-249 ◽  
Author(s):  
E.I. Papageorgiou ◽  
C.D. Stylios ◽  
P.P. Groumpos
Keyword(s):  
Hebbian Learning ◽  
Learning Algorithm ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps

A Methodology for Developing Adaptive Fuzzy Cognitive Maps for Decision Support

2000 ◽  
Vol 4 (6) ◽  
pp. 403-407 ◽  
Author(s):  
M. Shamim Khan ◽  
◽  
Alex Chong ◽  
Tom Gedeon
Keyword(s):  
Decision Support ◽  
Dynamic System ◽  
Hebbian Learning ◽  
Real Life ◽  
Cognitive Maps ◽  
Causal Link ◽  
Fuzzy Cognitive Maps ◽  
Event Sequence ◽  
Event Sequences ◽  
Sequence Encoding

Differential Hebbian Learning (DHL) was proposed by Kosko as an unsupervised learning scheme for Fuzzy Cognitive Maps (FCMs). DHL can be used with a sequence of state vectors to adapt the causal link strengths of an FCM. However, it does not guarantee learning of the sequence by the FCM and no concrete procedures for the use of DHL has been developed. In this paper a formal methodology is proposed for using DHL in the development of FCMs in a decision support context. The four steps in the methodology are: (1) Creation of a crisp cognitive map; (2) Identification of event sequences for use in DHL; (3) Event sequence encoding using DHL; (4) Revision of the trained FCM. Feasibility of the proposed methodology is demonstrated with an example involving a dynamic system with feedback based on a real-life scenario.

Fuzzy grey cognitive maps and nonlinear Hebbian learning in process control

2014 ◽  
Vol 41 (1) ◽  
pp. 223-234 ◽  
Author(s):  
Jose L. Salmeron ◽  
Elpiniki I. Papageorgiou
Keyword(s):  
Process Control ◽  
Hebbian Learning ◽  
Cognitive Maps ◽  
Nonlinear Hebbian Learning
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